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Unemployment is one of the major challenges facing most countries, including Africa as a continent. Seeking how to reduce unemployment, debt, inflation and increase gross domestic product (GDP), foreign direct investment (FDI) and gross capital formation in the continent has been an agenda of governments, policy makers and economists to. This study examines the relationship between economic growth, inflation, debt, FDI, gross capital formation, labor force, population and unemployment in Africa.

An updated panel dataset of 29 African countries was selected from different regions from 1991 to 2019. These countries were selected based on their unemployment, population growth and inflation rates. The Pesaran cross-sectional dependence and panel unit root test (the Dickey–Fuller cross-sectional supplemented and the Im-Pesaran-Shin cross-sectional) were applied. Further, the panel Autoregressive Distributed Lag (ARDL) model (Bounds test) and pooled mean group (PMG) estimator were utilized in this work.

This shows that economic growth, debt, labor force and population have a positive relationship with unemployment in the long run. Therefore, an increase in these variables generates an increase in the selected African countries' unemployment growth. In contrast, inflation, FDI and gross capital formation have a negative relationship with unemployment in the long run, which implies that an increase in these variables reduces unemployment in the selected African countries.

This study has potential limitations because some data from the countries are not up to date and some years are missing from the data.

This study contributes to understanding unemployment and Okun's law in the African economy. This study shows that an increase in economic growth leads to a rise in unemployment, while an increase in inflation leads to a decrease in unemployment.

This paper provides an insight into the major factors that increase and reduces unemployment for government and policy marker to take the adequate measure.

This article aims to describe how one company has used an ethical approach to strengthen a competitive position based on knowledge management and technological innovation.

The article presents a case study of Indra, a leading Spanish technology company, showing how it has integrated corporate social responsibility within its strategic objectives.

What can you do to get and keep that competitive edge? One firm thinks it has found the answer by incorporating ethical behavior and corporate social responsibility (CSR) into every aspect of its activities. It seems that a corporate culture focused on ethical behavior can improve your standing and reputation inside and outside the company, so that employees, shareholders and communities at large see the organization as ready to do the right thing, rather than motivated exclusively by making money.

The article explains how basing competitive advantage on ethics and social responsibility can benefit stakeholders and improve long‐term profitability in a technology‐driven company. It shows how embedding ethical considerations and CSR as a basic aspect of strategy development and communicating this approach to stakeholders affects employee motivation and behavior, together with company reputation.

The article demonstrates the connections between corporate social responsibility initiatives and human resource development in an organization reliant on knowledge management as the basis of innovation.

The purpose of this paper is to introduce the special issue and to point at how much in the current economic and social crisis has to do with having lost an integrative, holistic and humanistic approach to management and organizations.

Following a brief introduction of the current context, this piece summarizes the main points of the six papers selected for inclusion in this special issue. These papers were selected from among the more than 80 presented at an International Symposium on Ethics, Business and Society hosted by IESE Business School in Barcelona in May 2010.

The main contributions from the papers in this special issue include conceptual elaborations on the conditions for work, that is, meaningful, holistic management delivered through management education programs, the interface between ethical values/responsibility and firm strategy, corporate community involvement, gift and gratuity dimensions of organizational analysis, and developing trust through a dialogue between management, on the one hand, and ethics and the social sciences, on the other.

This paper points at new avenues to address the main management challenges that managers confront in today's social and economic crisis

Introduces a collection of papers originally presented at the 79th Applied Econometrics Association Conference which was organised with the specific aim of stimulating discussion on the “econometrics of wages”. Topics of particular focus include gender wage gaps and wage discrimination. The papers provide insight into the magnitude and sources of gender, racial and sexual orientation earnings inequalities.

Entrepreneurship and family business.

The case is suitable for BA and MBA levels and for courses focusing on family businesses, entrepreneurship, or small and medium-sized enterprises.

The Gomez family is the owner of Colchones Eldorado, a Colombian mattress company, in business for more than 50 years. Its founder and CEO Gumercindo Gomez, 75 years old, had no succession plan but he wanted to ensure the future of his business. Given the urgency of this situation and the complexity of the family structure, Martha Gomez, General Manager, hired a consultant to design the succession plan. To prepare this plan, the consultant must take into account: the preservation of stock ownership within the family, the company's sustainability under the new CEO family member, and the assurance of the family harmony.

These include: understanding the characteristics of a family business in the Latin American context; recognizing the stages of the family ownership; and identifying personal characteristics and roles of family members in order to design the basis of the succession plan.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

The purpose of this paper is to contribute to innovation and family business literature by establishing whether institutional involvement of private equity (PE) and banks in family firms moderates the relationship between family ownership and research and development (R&D) investment.

This paper used the socio-emotional wealth lens to carry out an econometric analysis on a large sample of Italian non-listed family firms. Using the sample selection model meant it was possible to account for potential selection bias arising from firms’ discretionary disclosure of R&D expenditure.

Family involvement in ownership reduced firms’ R&D intensity. When PE investors also held shares, the negative relationship was diverted. Bank involvement, however, did not have a significant effect on the relationship.

This paper enriches the innovation management literature by increasing the understanding of the determinants of R&D investments in family firms. The results support the view that non-financial priorities in family firms are contingent upon non-family shareholders. This enriches the debate about the heterogeneity of family businesses and is consistent with the socio-emotional wealth framework, which has shown that risk preferences may vary if desired and actual performances are different. This may be a fruitful area for future research.

Contradicting the assumption that institutional owners all share the same perspective, this study is the first to assess the impact of different institutional shareholders on R&D intensity of private family firms.

The purpose of this paper is to use the practical application of tools provided by social network theory for the detection of potential influencers from the point of view of marketing within online communities. It proposes a method to detect significant actors based on centrality metrics.

A matrix is proposed for the classification of the individuals that integrate a social network based on the combination of eigenvector centrality and betweenness centrality. The model is tested on a Facebook fan page for a sporting event. NodeXL is used to extract and analyze information. Semantic analysis and agent-based simulation are used to test the model.

The proposed model is effective in detecting actors with the potential to efficiently spread a message in relation to the rest of the community, which is achieved from their position within the network. Social network analysis (SNA) and the proposed model, in particular, are useful to detect subgroups of components with particular characteristics that are not evident from other analysis methods.

This paper approaches the application of SNA to online social communities from an empirical and experimental perspective. Its originality lies in combining information from two individual metrics to understand the phenomenon of influence. Online social networks are gaining relevance and the literature that exists in relation to this subject is still fragmented and incipient. This paper contributes to a better understanding of this phenomenon of networks and the development of better tools to manage it through the proposal of a novel method.

This paper aims to identify the future trends in the agro‐food sector over the next two decades. Ten national technology foresight studies have been reviewed with the purpose of (i) envisaging the future socio‐economic and technology framework of the sector and (ii) highlighting major agro‐food technology clusters and their future application.

In recent years, the global consumption of craft beer witnesses remarkable growth. This growth is attributed to the evolving demographics of beer consumers, particularly the emergence of a new generation known as Digitarians or Generation Z. This study aims to analyze the key determinants influencing craft beer consumption among Digitarians.

An online questionnaire is administered, and a total of 296 completed responses are included in the statistical analysis. The methodology uses logistic regressions combined with a backward selection process and variance inflation factor analysis to address multicollinearity. The logistic regressions are conducted in three steps to delve into the research objective and gain insights into the behavior of young consumers. The stepwise backward selection aids in obtaining robust coefficients as a variable selection tool.

The results shed light on how Digitarians’ preferences for craft beer are influenced by various factors, including self-perceived knowledge, alcohol content, gender, food pairings, environment and companionship.

To the best of the authors’ knowledge, this paper contributes novel insights by being the first study to explore the significance of craft beer choices among Digitarians, identifying the role of several predictors in their consumption patterns.

The purpose of this paper is to study the feasibility of the fabrication of circle arc curved-layered structures via conventional fused deposition modeling (FDM) with three-axis machines and to identify the main structural parameters that have an influence on their mechanical properties.

Customized G-codes were generated via a script developed in MATLAB. The G-codes contain nozzle trajectories with displacements in the three axes simultaneously. Using these, the samples were fabricated with different porosities, and their influence on the mechanical responses evaluated via tensile testing. The load-displacement curves were analyzed to understand the structure-property relationship.

Circled arc curved-layered structures were successfully fabricated with conventional three-axis FDM machines. The response of these curved lattice structures under tensile loads was mapped to three main stages and deformation mechanisms, namely, straightening, stretching and fracture. The micro-structure formed by the transverse filaments affect the first stage significantly and the other two minimally. The main parameters that affect the structural response were found to be the transverse filaments, as these could behave as hinges, allowing the slide/rotation of adjacent layers and making the structure more shear sensitive.

This paper was restricted to arc-curved samples fabricated with conventional three-axis FDM machines.

The FDM fabrication of curved-structures with controlled porosity and their relation to the resulting mechanical properties is presented here for the first time. The study of curved-lattice structures is of great relevance in various areas, such as biomedical, architecture and aerospace.